Method for Automatic Labeling of Unstructured Data Fragments From Electronic Medical Records

摘要

A method for automatically labeling unstructured data from electronic medical records using a computer-based medical data processing system includes selecting a data pattern based on a desired medical finding. The selected data pattern is searched for within source data including patient records to find one or more matches. A context of a predetermined range around each data pattern match found is identified within the source data and the found contexts are associated with a particular medical finding. The medical finding can be at the patient level or document level, not necessarily at the context level. Associations between contexts and medical findings are identified. A classifier based on an association between the identified contexts and the desired medical finding is trained. The trained classifier is used to automatically identify likely instances of passages, documents or patients related to the desired medical finding from within subsequent data including patient records.